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A Simulated Annealing Algorithm for Solving a Routing Problem in the Context of Municipal Solid Waste Collection

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Production Research (ICPR-Americas 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1408))

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Abstract

The management of the collection of Municipal Solid Waste is a complex task for local governments since it consumes a large portion of their budgets. Thus, the use of computer-aided tools to support decision-making can contribute to improve the efficiency of the system and reduce the associated costs. In the present work, a simulated annealing algorithm is proposed to address the problem of designing the routes of waste collection vehicles. The proposed algorithm is compared against two other metaheuristic algorithms: a Large Neighborhood Search (LNS) algorithm from the literature and a standard genetic algorithm. The evaluation is carried out on real instances of the city of Bahía Blanca and on benchmarks from the literature. The proposed algorithm was able to solve all the instances, having an average performance similar to the LNS, while the standard genetic algorithm showed less promising results.

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Acknowledgements

The authors of this work wish to acknowledge the funding received from the Universidad Nacional del Sur for the research projects PGI 24/J084 and PGI 24/ZJ35. In addition, the first author of this work is grateful for the funding received from the Consejo Interuniversitario Nacional of Argentina (CIN) through a scholarship Becas de Estímulo a las Vocaciones Científicas (Becas EVC – CIN).

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Authors and Affiliations

  1. Departmento de Ingeniería, Universidad Nacional del Sur, Bahía Blanca, Argentina

    Matías Fermani, Diego Gabriel Rossit & Adrián Toncovich

  2. INMABB, Universidad Nacional del Sur (UNS)-CONICET, Bahía Blanca, Argentina

    Diego Gabriel Rossit

Authors
  1. Matías Fermani
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  2. Diego Gabriel Rossit
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  3. Adrián Toncovich
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Corresponding author

Correspondence to Diego Gabriel Rossit .

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Editors and Affiliations

  1. Universidad Nacional del Sur and CONICET, Bahía Blanca, Argentina

    Daniel Alejandro Rossit

  2. Universidad Nacional del Sur and CONICET, Bahía Blanca, Argentina

    Fernando Tohmé

  3. University of La Sabana, Chía, Colombia

    Gonzalo Mejía Delgadillo

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Fermani, M., Rossit, D.G., Toncovich, A. (2021). A Simulated Annealing Algorithm for Solving a Routing Problem in the Context of Municipal Solid Waste Collection. In: Rossit, D.A., Tohmé, F., Mejía Delgadillo, G. (eds) Production Research. ICPR-Americas 2020. Communications in Computer and Information Science, vol 1408. Springer, Cham. https://doi.org/10.1007/978-3-030-76310-7_5

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  • DOI: https://doi.org/10.1007/978-3-030-76310-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76309-1

  • Online ISBN: 978-3-030-76310-7

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